Browse sets
Market price
€0,92
Price history · RAW
2026-04-29 · €0,86 €1,15 · 2026-07-23
Price per print
🇬🇧 Normal · EN n=6 €0,92
🇫🇷 Normal · FR n=1 €0,89
How is this value calculated?
Ladder estimate · English · ~€0,92 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
eigene rohe NM-Verkäufe4 44 d €0,9232.65
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,92 · Σ g = 32.65

Measured error for this era×language (backtest): ±16 %

Ladder estimate · Deutsch · ~€0,81 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.8835 (Sprach-Faktor aus 94 Karten)4 44 d €0,814.29
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,81 · Σ g = 4.29

Measured error for this era×language (backtest): ±19 %

Ladder estimate · Français · ~€0,89 gelb
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 0.9683 (Sprach-Faktor aus 61 Karten)4 44 d €0,893.36
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,89 · Σ g = 3.36

Measured error for this era×language (backtest): ±25 %

Gate not green — shown only here, never as the price.

Ladder estimate · Italiano · ~€0,99 gruen
Evidence pathSalesAgeValue vᵢWeight gᵢ
en roh NM × 1.0744 (Sprach-Faktor aus 68 Karten)4 44 d €0,996.68
value = exp( Σ gᵢ·ln vᵢ ⁄ Σ gᵢ ) = €0,99 · Σ g = 6.68

Measured error for this era×language (backtest): ±17 %

PSA Population

No PSA numbers for this print yet — in any language.

Recent sales · 7
2026-07-23 EN RAW NM Alomomola 024/086 ~ Uncommon English Near Mint €0,92
2026-07-07 EN RAW NM Alomomola 024/086 Uncommon English Near Mint €0,92
2026-06-20 EN RAW UNKNOWN Black Bolt #024/086 Alomomola NORMAL €0,86
2026-06-04 EN RAW UNKNOWN 024/086 ALOMOMOLA UNCOMMON BLACK BOLT POKEMON CARD €1,15
2026-05-02 FR RAW UNKNOWN Carte Pokémon Mamanbo 024/086 Peu commune Foudre Noire La pa €1,00
2026-04-29 EN RAW NM Alomomola - 024/086 - Uncommon - Near Mint €0,92
2026-04-29 EN RAW NM ⚫Pokemon TCG - Alomomola - 024/086 - Uncommon - SV: Black B €0,96
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FAQ

Frequently asked questions

How does lastsold determine the market value?

lastsold uses only real sales — eBay plus auction houses like Goldin & Fanatics — recent sales count more (recency weighting), outliers and fakes are removed. It's not an estimate but actual sold prices, separated by condition, language and grading.